References in zbMATH (referenced in 28 articles , 1 standard article )

Showing results 1 to 20 of 28.
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  1. Bauer, Martin; Hartman, Emmanuel; Klassen, Eric: The square root normal field distance and unbalanced optimal transport (2022)
  2. Campbell, Steven; Leonard Wong, Ting-Kam: Functional portfolio optimization in stochastic portfolio theory (2022)
  3. Gao, Yihang; Ng, Michael K.: Wasserstein generative adversarial uncertainty quantification in physics-informed neural networks (2022)
  4. Allaire, Frédéric; Mallet, Vivien; Filippi, Jean-Baptiste: Novel method for a posteriori uncertainty quantification in wildland fire spread simulation (2021)
  5. Biau, Gérard; Sangnier, Maxime; Tanielian, Ugo: Some theoretical insights into Wasserstein GANs (2021)
  6. Burger, Martin; Kreusser, Lisa Maria; Totzeck, Claudia: Mean-field optimal control for biological pattern formation (2021)
  7. Catalano, Marta; Lijoi, Antonio; Prünster, Igor: Measuring dependence in the Wasserstein distance for Bayesian nonparametric models (2021)
  8. Divol, Vincent; Lacombe, Théo: Understanding the topology and the geometry of the space of persistence diagrams via optimal partial transport (2021)
  9. Flamary, Rémi; Courty, Nicolas; Gramfort, Alexandre; Alaya, Mokhtar Z.; Boisbunon, Aurélie; Chambon, Stanislas; Chapel, Laetitia; Corenflos, Adrien; Fatras, Kilian; Fournier, Nemo; Gautheron, Léo; Gayraud, Nathalie T. H.; Janati, Hicham; Rakotomamonjy, Alain; Redko, Ievgen; Rolet, Antoine; Schutz, Antony; Seguy, Vivien; Sutherland, Danica J.; Tavenard, Romain; Tong, Alexander; Vayer, Titouan: POT: Python optimal transport (2021)
  10. Giesselmann, Jan; Meyer, Fabian; Rohde, Christian: Error control for statistical solutions of hyperbolic systems of conservation laws (2021)
  11. Lanthaler, S.; Mishra, S.; Parés-Pulido, C.: Statistical solutions of the incompressible Euler equations (2021)
  12. Marti, Gautier; Goubet, Victor; Nielsen, Frank: cCorrGAN: conditional correlation GAN for learning empirical conditional distributions in the elliptope (2021)
  13. Myers, Aaron; Thiéry, Alexandre H.; Wang, Kainan; Bui-Thanh, Tan: Sequential ensemble transform for Bayesian inverse problems (2021)
  14. Wiqvist, Samuel; Golightly, Andrew; McLean, Ashleigh T.; Picchini, Umberto: Efficient inference for stochastic differential equation mixed-effects models using correlated particle pseudo-marginal algorithms (2021)
  15. Auricchio, Gennaro; Codegoni, Andrea; Gualandi, Stefano; Toscani, Giuseppe; Veneroni, Marco: The equivalence of Fourier-based and Wasserstein metrics on imaging problems (2020)
  16. Catalano, Marta; Lijoi, Antonio; Prünster, Igor: Approximation of Bayesian models for time-to-event data (2020)
  17. Delon, Julie; Desolneux, Agnès: A Wasserstein-type distance in the space of Gaussian mixture models (2020)
  18. Di Marino, Simone; Gerolin, Augusto: An optimal transport approach for the Schrödinger bridge problem and convergence of Sinkhorn algorithm (2020)
  19. Facca, Enrico; Daneri, Sara; Cardin, Franco; Putti, Mario: Numerical solution of Monge-Kantorovich equations via a dynamic formulation (2020)
  20. Fjordholm, U. S.; Lye, K.; Mishra, S.; Weber, F.: Statistical solutions of hyperbolic systems of conservation laws: numerical approximation (2020)

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